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Metabolism in Cancer

Overview of attention for book
Attention for Chapter 7: Metabolism in Cancer
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1 tweeter

Citations

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6 Dimensions

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21 Mendeley
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Chapter title
Metabolism in Cancer
Chapter number 7
Book title
Metabolism in Cancer
Published in
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, August 2016
DOI 10.1007/978-3-319-42118-6_7
Pubmed ID
Book ISBNs
978-3-31-942116-2, 978-3-31-942118-6
Authors

Budczies, Jan, Denkert, Carsten, Jan Budczies, Carsten Denkert

Editors

Thorsten Cramer, Clemens A. Schmitt

Abstract

Mass spectrometry and nuclear magnetic resonance-based metabolomics have been developed into mature technologies that can be utilized to analyze hundreds of biological samples in a high-throughput manner. Over the past few years, both technologies were utilized to analyze large cohorts of fresh frozen breast cancer tissues. Metabolite biomarkers were shown to separate breast cancer tissues from normal breast tissues with high sensitivity and specificity. Furthermore, the metabolome differed between hormone receptor positive (HR+) and hormone receptor negative (HR-) breast cancer, but was unchanged in HER2+ tumors compared to HER2- tumors. New metabolism-related biomarkers were discovered including the 4-aminobutyrate aminotransferase ABAT, where low mRNA expression led to an accumulation of beta-alanine and shortened relapse-free survival. The glutamate-to-glutamine ratio (GGR) represents another new biomarker that was increased in 88 % of HR- tumors and 56 % of HR+ tumors compared to normal breast tissues. The GGR might help to stratify patients for the treatment with specific glutaminase inhibitors that were recently developed and are currently being tested in phase I clinical studies. Surprisingly, 2-hydroxyglutarate (2-HG), initially found to accumulate in isocitrate dehydrogenase (IDH) mutated gliomas and leukemias and described as an oncometabolite, was detected to be drastically increased in several breast carcinomas in the absence of IDH mutations. In summary, metabolomics analysis of breast cancer tissues is a reliable method and has produced many new biological insights that may impact breast cancer diagnostics and treatment over the coming years.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 33%
Student > Ph. D. Student 5 24%
Student > Bachelor 3 14%
Student > Postgraduate 2 10%
Researcher 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 4 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Engineering 2 10%
Other 1 5%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 August 2016.
All research outputs
#11,588,658
of 13,044,074 outputs
Outputs from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#96
of 128 outputs
Outputs of similar age
#219,945
of 261,846 outputs
Outputs of similar age from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#1
of 1 outputs
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So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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